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Technology and Entrepreneurship
Published in Tugrul Daim, Marina Dabić, Yu-Shan Su, The Routledge Companion to Technology Management, 2023
Leon Pretorius, Vida Davidavičienė, Jan Harm C. Pretorius
To model this detailed behavior a system dynamics (SD) model for entrepreneurship together with the appropriate modeling equations is required. The software Vensim is again used for this system dynamics model development in this chapter. In its most basic form Vensim is a simulator for solving and simulating systems of differential equations. In these equations rates are the time differentiated form of model equations and are typically represented by valves in the Vensim system dynamics models. Furthermore, the resulting integrated forms of these rate equations are then represented by boxes or levels in the Vensim diagrams.
Simulation
Published in Slobodan P. Simonović, Managing Water Resources, 2012
Vensim provides explicit support for naming variables, writing reality check information, developing dynamic hypotheses and building simulation models. Creating good issue statements and developing reference modes can easily be done with pencil and paper or using other technologies. Dynamic hypotheses can be developed as visual models in Vensim, or simply sketched out with pencil and paper. Simulation is one stage where it is necessary to use the computer for at least part of the process.
Designing a dynamic model to evaluate lot-sizing policies in different scenarios of demand and lead times in order to reduce the nervousness of the MRP system.
Published in Journal of Industrial and Production Engineering, 2021
Alireza Pooya, Nadiye Fakhlaei, Ali Alizadeh-Zoeram
To simulate the relationship between MRP variables including demand, lead time, amount of re-order, inventory levels and safety stock, a system dynamics approach is used. System dynamics is a method which can increase the level of learning in complex systems and it can also create simulated computer models to help understand the dynamic complexities. Vensim software which was used for simulation, is a powerful tool for modeling, simulating, model testing, and sensitivity analysis of system dynamics. To validate the model, various methods such as; limit test and compatibility test were used along with the experts’ opinion. After building the model, it can be used to design and evaluate scenarios and policies. In this study, three scenarios were chosen based on demand and lead time under various modes, including stochastic demand – stochastic lead time (Scenario 1: S1), stochastic demand – deterministic lead time (Scenario 2: S2), and the suggestion of the company (Scenario 3: S3), in which the company determines the values of demand, and lead time (Table 1).
Group dynamics analysis and the correction of coal miners' unsafe behaviors
Published in Archives of Environmental & Occupational Health, 2021
Linlin Wang, Qinggui Cao, Chenggong Han, Jie Song, Nannan Qu
One of the characteristics of SD is the carrying out of simulations via special SD software. Commonly used simulation software includes Vensim, AnyLogic, iThink, STELLA and Powersim. Among them, Vensim is a simple and visual graphic interface software that is used to establish the relevant models, including the causal relationship and flow diagram, of all elements in a system. Based on the characteristics of Vensim and the simulation purposes, this software was chosen as the simulation tool in the present study.
Efficiency of risk management for tunnel security of megaprojects construction in China based on system dynamics
Published in Journal of Asian Architecture and Building Engineering, 2023
Kai Liu, Yuming Liu, Yuanyuan Kou, Xiaoxu Yang, Guangzhong Hu
Three representative model simulation experiments were conducted with simulation time T = 8 and simulation step size of 0.5 in hours. The simulations were performed by using the Vensim software. Vensim is a visual modeling tool that allows you to conceptualize, document, simulate, analyse, and optimize models of dynamic systems. Vensim provides a simple and flexible way to build simulation models from causal loops or stock and flow graphs.